Signal Separation and Localization Strategies for Large Aperture Acoustic Arrays

Abstract

Development of signal detection and localization methods for large aperture acoustic arrays in urban environments presents inherent difficulties due in part to interfering coherent signals and low Signal to Noise Ration (SNR) targets. Continuous wave sources can also be difficult to localize due to the high levels of self-similarity and interference with other continuous wave signals. This paper presents some preliminary approaches under investigation for: determining the direction of arrival of continuous sources that are changing in frequency, detecting and localizing low SNR impulses in the presence of coherent noise, and fast efficient mapping of array element delays to direction of arrival using a neural network fitting function.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2017
Accession Number
AD1069125

Entities

People

  • Chris Simpson
  • Mihan H. McKenna
  • Richard Haskins

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Arrays
  • Acoustics
  • Amplitude
  • Angle Of Arrival
  • Arrays
  • Background Noise
  • Cross Correlation
  • Detection
  • Detectors
  • Doppler Effect
  • Filters
  • Frequency
  • High Resolution
  • Neural Networks
  • Signal Processing
  • Statistical Analysis
  • Training

Fields of Study

  • Engineering
  • Physics

Readers

  • Approximation Theory.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms